2- Course Aim :-

This course introduces the student to the field of Network Algorithms and Simulation Techniques. The course may be divided into two parts. In the first part, the error-correcting codes, data compression, search engine algorithms, data streaming algorithms, algorithms relevant in cryptography, cryptography protocols are introduced. Second part, introduces discrete-event simulation techniques including model design and development, comparison to analytical models, input data preparation, random number generation, output statistical analysis, and model validation. Using these techniques, students will: model real-world systems, implement the model as a computer program, and evaluate the performance of real-world systems by analyzing the output of the model under various conditions.